{"id":"W2063531717","doi":"10.1109/glocom.2006.701","title":"WLC15-4: Enhanced Per-Flow Admission Control and QoS Provisioning in IEEE 802.11e Wireless LANs","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Quality of service; Computer science; Computer network; Provisioning; Admission control; Wireless Multimedia Extensions; Access control; Channel (broadcasting); IEEE 802; IEEE 802.11e-2005; Call Admission Control; Resource allocation; Wireless; Wireless network; Wi-Fi array; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002987679,0.0001979782,0.0002873793,0.00007828156,0.000150652,0.0002317188,0.0004567748,0.0001220236,0.00002100796],"category_scores_gemma":[0.0000102239,0.000171152,0.00005039384,0.0002420415,0.00003409851,0.0003461328,0.0001089764,0.0002082123,0.00002574534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004909722,"about_ca_system_score_gemma":0.00007970294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003468189,"about_ca_topic_score_gemma":0.0003134707,"domain_scores_codex":[0.9984125,0.0001111794,0.0003212615,0.0004835225,0.000235768,0.0004357077],"domain_scores_gemma":[0.9992357,0.0001129525,0.0001072716,0.0003769208,0.00004628115,0.0001208083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002497602,0.0006408887,0.04223415,0.0002320309,0.00003436796,0.0001986363,0.001446054,0.01723964,0.04842499,0.01391831,0.01590265,0.8594785],"study_design_scores_gemma":[0.007117672,0.0005423288,0.05390441,0.0007753798,0.00001280176,0.00004135622,0.00005320762,0.8951923,0.01242298,0.00395527,0.02486086,0.001121448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3359179,0.0003696443,0.653911,0.001419981,0.0006181501,0.004660506,0.00000975003,0.0002692021,0.002823889],"genre_scores_gemma":[0.9900919,0.00001019426,0.008394503,0.0002780838,0.000312848,0.0006270963,0.000003673533,0.00001335639,0.0002683505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8779526,"threshold_uncertainty_score":0.6979374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005579115915122976,"score_gpt":0.2300303683948206,"score_spread":0.2244512524796976,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}